Genre-based book recommendations are broken. Someone who loves "The Great Gatsby" and "Norwegian Wood" doesn't want "literary fiction" — they want books that feel a certain way. I built BookMoodMatch to solve this. Why Mood > Genre Think about the last book you loved. You probably wouldn't describe it by genre first. You'd say it was "cozy" or "mind-bending" or "made me ugly-cry on the train." That emotional dimension is what BookMoodMatch uses. Instead of asking "what genre?" it asks "what mood are you in?" How It Works The matching algorithm considers: Current mood — contemplative, adventurous, cozy, intense, light Reading context — commute, vacation, before bed, weekend binge Past favorites — not just titles, but what you loved about them Avoidance signals — topics or tones you want to skip right now The Data Challenge Building a mood taxonomy for books is harder than it sounds. A book can be simultaneously "dark" and "hopeful." The same book reads differently depending on where you are in life.…